Pinned Repositories
Adversarial-Distributional-Training
Adversarial Distributional Training (NeurIPS 2020)
dongyp13.github.io
memorization-AT
Non-Targeted-Adversarial-Attacks
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
os_lab
Robust-and-Explainable-Machine-Learning
Related materials for robust and explainable machine learning
Stochastic-Quantization
Training Low-bits DNNs with Stochastic Quantization
Targeted-Adversarial-Attack
A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition
Translation-Invariant-Attacks
The translation-invariant adversarial attack method to improve the transferability of adversarial examples.
ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
dongyp13's Repositories
dongyp13/Non-Targeted-Adversarial-Attacks
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
dongyp13/Translation-Invariant-Attacks
The translation-invariant adversarial attack method to improve the transferability of adversarial examples.
dongyp13/Targeted-Adversarial-Attack
A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition
dongyp13/Stochastic-Quantization
Training Low-bits DNNs with Stochastic Quantization
dongyp13/Adversarial-Distributional-Training
Adversarial Distributional Training (NeurIPS 2020)
dongyp13/Robust-and-Explainable-Machine-Learning
Related materials for robust and explainable machine learning
dongyp13/memorization-AT
dongyp13/os_lab
dongyp13/ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
dongyp13/dongyp13.github.io
dongyp13/Face-Robustness-Benchmark
dongyp13/video-caption
dongyp13/awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
dongyp13/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
dongyp13/DI-2-FGSM
Improving Transferability of Adversarial Examples with Input Diversity
dongyp13/MMLDA
A Strong and Efficient Adversarial Defense
dongyp13/youtube-8m
dongyp13/adversarial-robustness-benchmark
dongyp13/B3D
dongyp13/foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
dongyp13/MMTrustEval
A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust)
dongyp13/place-attention
dongyp13/RCE
Reverse Cross Entropy Training
dongyp13/3D_Corruptions_AD
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023
dongyp13/Attack-Bard
dongyp13/Prior-Guided-RGF
Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".
dongyp13/realsafe
dongyp13/Rectified-Rejection
Improving adversarial robustness by a coupling rejection strategy